ArticleThe International journal of health planning and management2020
Principalism in public health decision making in the context of the COVID-19 pandemic.
Article in The International journal of health planning and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Key Influencing Factors and Optimization Strategy of Epidemic Resilience in Urban Communities-A Case Study of Nanjing, China.International journal of environmental research and public health · 2022Pooled it
- Global Challenges to Public Health Care Systems during the COVID-19 Pandemic: A Review of Pandemic Measures and Problems.Journal of personalized medicine · 2022Review
- Applying critical realism to the COVID-19 pandemic to improve management of future public health crises.The International journal of health planning and management · 2022Article
- After Action Reviews of COVID-19 response: Case study of a large tertiary care hospital in Italy.The International journal of health planning and management · 2021Article
- The SARS-CoV-2 pandemic: A syndemic perspective.One health (Amsterdam, Netherlands) · 2021Review
- Locally produced personal protective equipment can offer hospital staff protection against Covid-19 if combined with surgical masks and rigorous personal protective equipment cleaning routine.The International journal of health planning and management · 2021Article
- The Populations' Resilience Toward the Policymaking Discrepancies in the Pandemic Covid-19 Period.Frontiers in public health · 2021Review
- A simple tool for comparing benefits and 'costs' of COVID-19 exit strategies.Public health · 2020Article
- Principalism in public health decision making in the context of the COVID-19 pandemic.The International journal of health planning and management · 2020Article
- Understanding Health Care Administrators' Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System.MDM policy & practiceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 pandemic lead scientists and governmental authorities to issue clinical and public health recommendations based on progressively emerging evidence and expert opinions and many of these fast-tracked to peer-reviewed publications. Concerns were raised on scientific quality and generalizability of this emerging evidence. MAIN ARGUMENT: However, this way acting is not entirely new and often public health decisions are based on flawed and ambiguous evidence. Thus, to better guide decisions in these circumstances, in this article we argue that there is a need to follow fundamental principles in order to guide best public health practices. We purpose the usefulness of the framework of principalism in public which has been proved useful in real life conditions as a guide in the absence of reliable evidence.
conclusionsIt is recommended the implementation of these principles in an integrated manner adopting an holistic system approach to health policies adapted to specificities of local contexts.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.